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  • How can I turn a bunch of rows into aggregated columns WITHOUT using pivot in SQL Server 2005?

    - by cdeszaq
    Here is the scenario: I have a table that records the user_id, the module_id, and the date/time the module was viewed. eg. Table: Log ------------------------------ User_ID Module_ID Date ------------------------------ 1 red 2001-01-01 1 green 2001-01-02 1 blue 2001-01-03 2 green 2001-01-04 2 blue 2001-01-05 1 red 2001-01-06 1 blue 2001-01-07 3 blue 2001-01-08 3 green 2001-01-09 3 red 2001-01-10 3 green 2001-01-11 4 white 2001-01-12 I need to get a result set that has the user_id as the 1st column, and then a column for each module. The row data is then the user_id and the count of the number of times that user viewed each module. eg. --------------------------------- User_ID red green blue white --------------------------------- 1 2 1 2 0 2 0 1 1 0 3 1 2 1 0 4 0 0 0 1 I was initially thinking that I could do this with PIVOT, but no dice; the database is a converted SQL Server 2000 DB that is running in SQL Server 2005. I'm not able to change the compatibility level, so pivot is out. How can I accomplish this?

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  • Is there any natural join replacement in SQL Server 2005?

    - by truthseeker
    Hi, I have two tables which I would like to join by ID field. I was trying to use for this "INNER JOIN". Everything would be good but there are two issues: As a result I receive twice column ID. I have to omit specifying columns which should be displayed under select statement. I would like to use there a *. I red that other sql-s have something like natural join and that is probably (or not?) an answer for my question. Unfortunately there is no join like that in SQL Server (2005). Do anybody knows any good replacement of it?

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  • How do I improve the efficiency of the queries executed by this generic Linq-to-SQL data access clas

    - by Lee D
    Hi all, I have a class which provides generic access to LINQ to SQL entities, for example: class LinqProvider<T> //where T is a L2S entity class { DataContext context; public virtual IEnumerable<T> GetAll() { return context.GetTable<T>(); } public virtual T Single(Func<T, bool> condition) { return context.GetTable<T>().SingleOrDefault(condition); } } From the front end, both of these methods appear to work as you would expect. However, when I run a trace in SQL profiler, the Single method is executing what amounts to a SELECT * FROM [Table], and then returning the single entity that meets the given condition. Obviously this is inefficient, and is being caused by GetTable() returning all rows. My question is, how do I get the query executed by the Single() method to take the form SELECT * FROM [Table] WHERE [condition], rather than selecting all rows then filtering out all but one? Is it possible in this context? Any help appreciated, Lee

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  • How to get SQL Server Date in its native format?

    - by RoguePlanetoid
    I need to get a Date from an SQL Server Database (SQL Server 2000), the date is stored as such: 2009-09-30 00:00:00.000 I want to pass this date into a Classic ASP function to use this date in the Database somewhere else, however when I get the date, it converts in my ASP code to a locale-dependant version, such as: 30/09/2009 I just want the date as-is as formatting the date so it is correct again seems unnecessary, although if this the only way then fine - is there any way to treat it as string data so it stays like that, so it can be inserted back into the database as the same date, without needing conversion?

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  • Why do I need to explicitly specify all columns in a SQL "GROUP BY" clause - why not "GROUP BY *"?

    - by rwmnau
    This has always bothered me - why does the GROUP BY clause in a SQL statement require that I include all non-aggregate columns? These columns should be included by default - a kind of "GROUP BY *" - since I can't even run the query unless they're all included. Every column has to either be an aggregate or be specified in the "GROUP BY", but it seems like anything not aggregated should be automatically grouped. Maybe it's part of the ANSI-SQL standard, but even so, I don't understand why. Can somebody help me understand the need for this convention?

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  • Linq-to-SQL produces bad SQL?

    - by strager
    I am trying to run a Linq-to-SQL query, but when the query is evaluated, I get the following exception: System.Data.OleDb.OleDbException was unhandled Message=The SELECT statement includes a reserved word or an argument name that is misspelled or missing, or the punctuation is incorrect. Source=Microsoft JET Database Engine ErrorCode=-2147217900 StackTrace: at System.Data.OleDb.OleDbCommand.ExecuteCommandTextErrorHandling(OleDbHResult hr) at System.Data.OleDb.OleDbCommand.ExecuteCommandTextForSingleResult(tagDBPARAMS dbParams, Object& executeResult) at System.Data.OleDb.OleDbCommand.ExecuteCommandText(Object& executeResult) at System.Data.OleDb.OleDbCommand.ExecuteCommand(CommandBehavior behavior, Object& executeResult) at System.Data.OleDb.OleDbCommand.ExecuteReaderInternal(CommandBehavior behavior, String method) at System.Data.OleDb.OleDbCommand.ExecuteReader(CommandBehavior behavior) at System.Data.OleDb.OleDbCommand.ExecuteDbDataReader(CommandBehavior behavior) at System.Data.Common.DbCommand.ExecuteReader() at System.Data.Linq.SqlClient.SqlProvider.Execute(Expression query, QueryInfo queryInfo, IObjectReaderFactory factory, Object[] parentArgs, Object[] userArgs, ICompiledSubQuery[] subQueries, Object lastResult) at System.Data.Linq.SqlClient.SqlProvider.ExecuteAll(Expression query, QueryInfo[] queryInfos, IObjectReaderFactory factory, Object[] userArguments, ICompiledSubQuery[] subQueries) at System.Data.Linq.SqlClient.SqlProvider.System.Data.Linq.Provider.IProvider.Execute(Expression query) at System.Data.Linq.DataQuery`1.System.Linq.IQueryProvider.Execute[S](Expression expression) at System.Linq.Queryable.FirstOrDefault[TSource](IQueryable`1 source) at xxx.InventoryPopulator`2.Clear(String barcode) in F:\Projects\C#\xxx\xxx\InventoryPopulator.cs:line 38 [..etc..] InnerException: The debugger shows my query is: SELECT [t0].[SupplierID] AS [Id], [t0].[SupplierSKU] AS [Sku], [t0].[LocalSKU] AS [LocalSku], [t0].[ManufacturersBarcode] AS [Barcode], [t0].[QuantityAvailable] FROM [inventorySupplier] AS [t0] WHERE [t0].[ManufacturersBarcode] = @p0 And the Linq query which generates the above is: var items = from item in this.supplierItems where item.Barcode == barcode select item; How do I fix my query?

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  • sql exception arithmetic overflow?

    - by MyHeadHurts
    In my program the user imports a date and it works whenever the year is in 2011 but if i try a date in 2010 i get this error which is weird [ SqlException (0x80131904): Arithmetic overflow error converting int to data type numeric.] System.Data.SqlClient.SqlConnection.OnError(SqlException exception, Boolean breakConnection) +1950890 System.Data.SqlClient.SqlInternalConnection.OnError(SqlException exception, Boolean breakConnection) +4846875 System.Data.SqlClient.TdsParser.ThrowExceptionAndWarning(TdsParserStateObject stateObj) +194 System.Data.SqlClient.TdsParser.Run(RunBehavior runBehavior, SqlCommand cmdHandler, SqlDataReader dataStream, BulkCopySimpleResultSet bulkCopyHandler, TdsParserStateObject stateObj) +2392 System.Data.SqlClient.SqlDataReader.HasMoreRows() +157 System.Data.SqlClient.SqlDataReader.ReadInternal(Boolean setTimeout) +197 System.Data.SqlClient.SqlDataReader.Read() +9 System.Data.Common.DataAdapter.FillLoadDataRow(SchemaMapping mapping) +78 System.Data.Common.DataAdapter.FillFromReader(DataSet dataset, DataTable datatable, String srcTable, DataReaderContainer dataReader, Int32 startRecord, Int32 maxRecords, DataColumn parentChapterColumn, Object parentChapterValue) +164 System.Data.Common.DataAdapter.Fill(DataTable[] dataTables, IDataReader dataReader, Int32 startRecord, Int32 maxRecords) +282 System.Data.Common.LoadAdapter.FillFromReader(DataTable[] dataTables, IDataReader dataReader, Int32 startRecord, Int32 maxRecords) +19 System.Data.DataTable.Load(IDataReader reader, LoadOption loadOption, FillErrorEventHandler errorHandler) +222 System.Data.DataTable.Load(IDataReader reader) +14 ( @YearToGet int, @current datetime, @y int, @search datetime ) AS SET @YearToGet = 2006; WITH Years AS ( SELECT DATEPART(year, GETDATE()) [Year] UNION ALL SELECT [Year]-1 FROM Years WHERE [Year]>@YearToGet ), q_00 as ( select DIVISION , DYYYY , sum(PARTY) as asofPAX , sum(InsAmount) as asofSales from dbo.B101BookingsDetails INNER JOIN Years ON B101BookingsDetails.DYYYY = Years.Year where Booked <= CONVERT(int, DateAdd(year, (Years.Year - @y), @search)) and DYYYY = Years.Year group by DIVISION, DYYYY, years.year having DYYYY = years.year ), q_01 as ( select DIVISION , DYYYY , sum(PARTY) as YEPAX , sum(InsAmount) as YESales from dbo.B101BookingsDetails INNER JOIN Years ON B101BookingsDetails.DYYYY = Years.Year group by DIVISION, DYYYY , years.year having DYYYY = years.year ), q_02 as ( select DIVISION , DYYYY , sum(PARTY) as CurrentPAX , sum(InsAmount) as CurrentSales from dbo.B101BookingsDetails INNER JOIN Years ON B101BookingsDetails.DYYYY = Years.Year where Booked <= CONVERT(int,@current) and DYYYY = (year( getdate() )) group by DIVISION, DYYYY ) select a.DIVISION , a.DYYYY , asofPAX , asofSales , YEPAX , YESales , CurrentPAX , CurrentSales ,asofsales/ ISNULL(NULLIF(yesales,0),1) as percentsales, CAST((asofpax) AS DECIMAL(5,1))/yepax as percentpax from q_00 as a join q_01 as b on (b.DIVISION = a.DIVISION and b.DYYYY = a.DYYYY) join q_02 as c on (b.DIVISION = c.DIVISION) JOIN Years as d on (b.dyyyy = d.year) where A.DYYYY <> (year( getdate() )) order by a.DIVISION, a.DYYYY ;

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  • networked storage for a research group, 10-100 TB

    - by Marc
    this is related to this post: http://serverfault.com/questions/80854/scalable-24-tb-nas-for-research-department but perhaps a little more general. Background: We're a research lab of around 10 people who do a lot of experiments that involve taking pictures at one of several lab setups and then analyzing it an one of several lab computers. Each experiment may produce 2 or 3 GB of data, and we are generating data at the rate of about 10 TB/year. Right now, we are storing the data on a 6-bay netgear readynas pro, but even with 2 TB drive, this only gives us 10 TB of storage. Also, right now we are not backing up at all. Our short term backup plan is to get a second readynas, put it in a different building and mirror the one drive onto the other. Obviously, this is somewhat non-ideal. Our options: 1) We can pay our university $400/ TB /year for "backed up" online storage. We trust them more than we trust us, but not a whole lot. 2) We can continue to buy small NASs and mirror them between offices. One limit, although stupid, is that we don't have an unlimited number of ethernet jacks. 3) We can try to implement our own data storage solution, which is why I'm asking you guys. One thing to consider is that we're a very transient population and none of us are network administration experts. I will probably be here only another year or so, and graduate students, who are here the longest, have a 5-6 year time scale. So nothing can require expert oversight. Our data transfer rates are low - most of the data will just sit on the server waiting for someone to look at it once or twice - so we don't need a really high speed system. Given these contraints, can someone recommend a fairly low-cost, scalable, more or less turn key shared data storage system with backup in a separate physical location. Does such a thing exist or should we just pay the university to take care of it for us? As a second question, our professor just got tenure and is putting together a budget. Here the goal is to ask for as much as you can and hope you get a fraction of it. So the same question, minus the low-cost. Without budget constraints, can you recommend a scalable turn-key backed up storage system. Thanks

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  • Run all SQL files in a directory

    - by Khalil Dahab
    I have a number of .sql files which I have to run in order to apply changes made by other developers on an SQL Server 2005 database. The files are named according to the following pattern: 0001 - abc.sql 0002 - abcef.sql 0003 - abc.sql ... Is there a way to run all of them in one go?

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  • about sql server merge statement

    - by George2
    Hello everyone, I am using SQL Server 2008 Enterprise DB and using the new Merge statement (when source and target are both SQL Server 2008 DB tables), and it works well. I have another database table which is hosted in SQL Server 2005 Enterprise DB. I want to know whether Merge statement could using one table of SQL Server 2008 as source, and another tableof SQL Server 2005 as target? The two databases may not exist on the same machine. thanks in advance, George

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  • SQL Server 2008 uses half the CPU’s

    - by ACALVETT
    I recently got my hands on a couple of 4 socket servers with Intel E7-4870's (10 cores per cpu) and with hyper threading enabled that gave me 80 logical CPU's. The server has Windows 2008 R2 SP1 along with SQL 2008 (Currently we can not deploy SQL 2008 R2 for the application being hosted). When SQL Server started I noticed only 2 NUMA nodes were configured and 40 logical cores where there should have been 4 NUMA nodes and 80 logical cores (see below). The problem is caused by that fact that...(read more)

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  • A dacpac limitation – Deploy dacpac wizard does not understand SqlCmd variables

    - by jamiet
    Since the release of SQL Server 2012 I have become a big fan of using dacpacs for deploying SQL Server databases (for reasons that I will explain some other day) and I chose to use a dacpac to distribute my recently announced utility sp_ssiscatalog (read: Introducing sp_ssiscatalog (v1.0.0.0)). Unfortunately if you read that blog post you may have taken note of the following: Ordinarily a dacpac can be deployed to a SQL Server from SSMS using the Deploy Dacpac wizard however in this case there is a limitation. Due to sp_ssiscatalog referring to objects in the SSIS Catalog (which it has to do of course) the dacpac contains a SqlCmd variable to store the name of the database that underpins the SSIS Catalog; unfortunately the Deploy Dacpac wizard in SSMS has a rather gaping limitation in that it cannot deploy dacpacs containing SqlCmd variables. I think it is worth calling out this limitation separately in this blog post because its a limitation that all dacpac users need to be aware of. If you try and deploy the dacpac containing sp_ssiscatalog using the wizard in SSMS then this is what you will see: TITLE: Microsoft SQL Server Management Studio ------------------------------ Could not deploy package. (Microsoft.SqlServer.Dac) ------------------------------ ADDITIONAL INFORMATION: Missing values for the following SqlCmd variables:SSISDB. (Microsoft.Data.Tools.Schema.Sql) ------------------------------ BUTTONS: OK ------------------------------ The message is quite correct. The SSDT DB project that I used to build this dacpac *does* have a SqlCmd variable in it called SSISDB: Quite simply, the Dac Deployment wizard in SSMS is not capable of deploying such dacpacs. Your only option for deploying such dacpacs is to use the command-line tool sqlpackage.exe. Generally I use sqlpackage.exe anyway (which is why it has taken me months to encounter the aforementioned problem) and have found it preferable to using a GUI-based wizard. Your mileage may vary. @Jamiet

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  • A dacpac limitation – Deploy dacpac wizard does not understand SqlCmd variables

    - by jamiet
    Since the release of SQL Server 2012 I have become a big fan of using dacpacs for deploying SQL Server databases (for reasons that I will explain some other day) and I chose to use a dacpac to distribute my recently announced utility sp_ssiscatalog (read: Introducing sp_ssiscatalog (v1.0.0.0)). Unfortunately if you read that blog post you may have taken note of the following: Ordinarily a dacpac can be deployed to a SQL Server from SSMS using the Deploy Dacpac wizard however in this case there is a limitation. Due to sp_ssiscatalog referring to objects in the SSIS Catalog (which it has to do of course) the dacpac contains a SqlCmd variable to store the name of the database that underpins the SSIS Catalog; unfortunately the Deploy Dacpac wizard in SSMS has a rather gaping limitation in that it cannot deploy dacpacs containing SqlCmd variables. I think it is worth calling out this limitation separately in this blog post because its a limitation that all dacpac users need to be aware of. If you try and deploy the dacpac containing sp_ssiscatalog using the wizard in SSMS then this is what you will see: TITLE: Microsoft SQL Server Management Studio ------------------------------ Could not deploy package. (Microsoft.SqlServer.Dac) ------------------------------ ADDITIONAL INFORMATION: Missing values for the following SqlCmd variables:SSISDB. (Microsoft.Data.Tools.Schema.Sql) ------------------------------ BUTTONS: OK ------------------------------ The message is quite correct. The SSDT DB project that I used to build this dacpac *does* have a SqlCmd variable in it called SSISDB: Quite simply, the Dac Deployment wizard in SSMS is not capable of deploying such dacpacs. Your only option for deploying such dacpacs is to use the command-line tool sqlpackage.exe. Generally I use sqlpackage.exe anyway (which is why it has taken me months to encounter the aforementioned problem) and have found it preferable to using a GUI-based wizard. Your mileage may vary. @Jamiet

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  • SQL Server in the Evening - 19th Jan in Frimley, Surrey

    - by JustinL
    Just a short note to mention, Gavin Payne (blog and twitter) is organising an event shortly in Frimley, Surrey - SQL Server in the Evening.  The Agenda focuses on Infrastructure DBAs, with the following sessions planned:Getting the most for SQL Server from VMware – VMware Sales EngineerSQL Server Transparent Data Encryption – Gavin Payne, Solution Architect, AttendaUnderstanding where cloud services really fit within your data centre – Matt Mould, Advisory Practice Consultant, EMC ConsultingIf it sounds like it might float your boat and/ or you fancy meeting some fellow SQL Server DBAs, it's free to register here: http://www.eventbrite.com/event/1125559579Regards,Justin Langford - Coeo LtdSQL Server Consultants | SQL Server Remote DBA

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  • Presenting at the San Francisco SQL Server User Group - 12-Sep-2012

    - by RickHeiges
    I have a business trip scheduled out far enough in advance for a change. I was able to schedule a presentation at the San Francisco SQL Server User Group on Sep 12 about SQL Server Consolidation Strategies. If you will be in the SF area on Sep 12, I invite you to attend ar just drop by to say hello. You can find out more about the group at http://www.meetup.com/The-San-Francisco-SQL-Server-Meetup-Group/ Hope to see you there!...(read more)

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  • Review the New Migration Guide to SQL Server 2012 Always On

    - by KKline
    I had the pleasure of meeting Mr. Cephas Lin, of Microsoft, last year at the SQL Saturday in Indianapolis and then later at the PASS Summit in the fall. Cephas has been writing content for SQL Server 2012 Always On. Cephas has recently published his first whitepaper, a migration guide to SQL Server AlwaysOn. Read it and then pass along any feedback: HERE Enjoy, -Kev - Follow me on Twitter !...(read more)

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  • Move a SQL Azure server between subscriptions

    - by jamiet
    In September 2011 I published a blog post SSIS Reporting Pack v0.2 now available in which I made available the credentials of a sample database that one could use to test SSIS Reporting Pack. That database was sitting on a paid-for Azure subscription and hence was costing me about £5 a month - not a huge amount but when I later got a free Azure subscription through my MSDN Subscription in January 2012 it made sense to migrate the database onto that subscription. Since then I have been endeavouring to make that move but a few failed attempts combined with lack of time meant that I had not yet gotten round to it.That is until this morning when I heard about a new feature available in the Azure Management Portal that enables one to move a SQL Azure server from one subscription to another. Up to now I had been attempting to use a combination of SSIS packages and/or scripts to move the data but, as I alluded, I ran into a few roadblocks hence the ability to move a SQL Azure server was a godsend to me. I fired up the Azure Management Portal and a few clicks later my server had been successfully migrated, moreover the name of the server doesn't change and neither do any credentials so I have no need to go and update my original blog post either. Its easy to be cynical about SQL Azure (and I maintain a healthy scepticism myself) but that, my friends, is cool!You can read more about the ability to move SQL Azure servers between subscriptions from the official blog post Moving SQL Azure Servers Between Subscriptions.@Jamiet

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  • R2 and Idera Idera SQL Safe (Freeware Edition)

    - by DavidWimbush
    Good news: the Freeware edition of Idera SQL Safe works on R2. You might not care but I certainly do. Here's why:  In September last year I started using Idera SQL Safe (the Freeware Edition) to get backup compression on my SQL 2005 servers. It seemed like a good idea at the time - it was free and my backups ran much faster and took up much less disk space. I really thought I'd actually scored a free lunch. Until they discontinued the product. I was thinking about what to do when I heard that R2 Standard would include native backup compression so I've just been keeping my fingers crossed since then. So I installed R2 Developer on my laptop, installed SQL Safe and kicked off a restore with it. No problem. Phew! Now I won't have to do a special, non-compressed backup and restore when we migrate.

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  • SPARC T4-2 Produces World Record Oracle Essbase Aggregate Storage Benchmark Result

    - by Brian
    Significance of Results Oracle's SPARC T4-2 server configured with a Sun Storage F5100 Flash Array and running Oracle Solaris 10 with Oracle Database 11g has achieved exceptional performance for the Oracle Essbase Aggregate Storage Option benchmark. The benchmark has upwards of 1 billion records, 15 dimensions and millions of members. Oracle Essbase is a multi-dimensional online analytical processing (OLAP) server and is well-suited to work well with SPARC T4 servers. The SPARC T4-2 server (2 cpus) running Oracle Essbase 11.1.2.2.100 outperformed the previous published results on Oracle's SPARC Enterprise M5000 server (4 cpus) with Oracle Essbase 11.1.1.3 on Oracle Solaris 10 by 80%, 32% and 2x performance improvement on Data Loading, Default Aggregation and Usage Based Aggregation, respectively. The SPARC T4-2 server with Sun Storage F5100 Flash Array and Oracle Essbase running on Oracle Solaris 10 achieves sub-second query response times for 20,000 users in a 15 dimension database. The SPARC T4-2 server configured with Oracle Essbase was able to aggregate and store values in the database for a 15 dimension cube in 398 minutes with 16 threads and in 484 minutes with 8 threads. The Sun Storage F5100 Flash Array provides more than a 20% improvement out-of-the-box compared to a mid-size fiber channel disk array for default aggregation and user-based aggregation. The Sun Storage F5100 Flash Array with Oracle Essbase provides the best combination for large Oracle Essbase databases leveraging Oracle Solaris ZFS and taking advantage of high bandwidth for faster load and aggregation. Oracle Fusion Middleware provides a family of complete, integrated, hot pluggable and best-of-breed products known for enabling enterprise customers to create and run agile and intelligent business applications. Oracle Essbase's performance demonstrates why so many customers rely on Oracle Fusion Middleware as their foundation for innovation. Performance Landscape System Data Size(millions of items) Database Load(minutes) Default Aggregation(minutes) Usage Based Aggregation(minutes) SPARC T4-2, 2 x SPARC T4 2.85 GHz 1000 149 398* 55 Sun M5000, 4 x SPARC64 VII 2.53 GHz 1000 269 526 115 Sun M5000, 4 x SPARC64 VII 2.4 GHz 400 120 448 18 * – 398 mins with CALCPARALLEL set to 16; 484 mins with CALCPARALLEL threads set to 8 Configuration Summary Hardware Configuration: 1 x SPARC T4-2 2 x 2.85 GHz SPARC T4 processors 128 GB memory 2 x 300 GB 10000 RPM SAS internal disks Storage Configuration: 1 x Sun Storage F5100 Flash Array 40 x 24 GB flash modules SAS HBA with 2 SAS channels Data Storage Scheme Striped - RAID 0 Oracle Solaris ZFS Software Configuration: Oracle Solaris 10 8/11 Installer V 11.1.2.2.100 Oracle Essbase Client v 11.1.2.2.100 Oracle Essbase v 11.1.2.2.100 Oracle Essbase Administration services 64-bit Oracle Database 11g Release 2 (11.2.0.3) HP's Mercury Interactive QuickTest Professional 9.5.0 Benchmark Description The objective of the Oracle Essbase Aggregate Storage Option benchmark is to showcase the ability of Oracle Essbase to scale in terms of user population and data volume for large enterprise deployments. Typical administrative and end-user operations for OLAP applications were simulated to produce benchmark results. The benchmark test results include: Database Load: Time elapsed to build a database including outline and data load. Default Aggregation: Time elapsed to build aggregation. User Based Aggregation: Time elapsed of the aggregate views proposed as a result of tracked retrieval queries. Summary of the data used for this benchmark: 40 flat files, each of size 1.2 GB, 49.4 GB in total 10 million rows per file, 1 billion rows total 28 columns of data per row Database outline has 15 dimensions (five of them are attribute dimensions) Customer dimension has 13.3 million members 3 rule files Key Points and Best Practices The Sun Storage F5100 Flash Array has been used to accelerate the application performance. Setting data load threads (DLTHREADSPREPARE) to 64 and Load Buffer to 6 improved dataloading by about 9%. Factors influencing aggregation materialization performance are "Aggregate Storage Cache" and "Number of Threads" (CALCPARALLEL) for parallel view materialization. The optimal values for this workload on the SPARC T4-2 server were: Aggregate Storage Cache: 32 GB CALCPARALLEL: 16   See Also Oracle Essbase Aggregate Storage Option Benchmark on Oracle's SPARC T4-2 Server oracle.com Oracle Essbase oracle.com OTN SPARC T4-2 Server oracle.com OTN Oracle Solaris oracle.com OTN Oracle Database 11g Release 2 Enterprise Edition oracle.com OTN Disclosure Statement Copyright 2012, Oracle and/or its affiliates. All rights reserved. Oracle and Java are registered trademarks of Oracle and/or its affiliates. Other names may be trademarks of their respective owners. Results as of 28 August 2012.

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  • Cumulative Update #7 for SQL Server 2008 Service Pack 3 is available

    - by AaronBertrand
    Today Microsoft has released a new cumulative update for SQL Server 2008. Cumulative Update #7 for SQL Server 2008 Service Pack 3 Knowledge Base Article: KB #2738350 At the time of writing, there are 9 fixes listed The build number is 10.00.5794 Relevant for @@VERSION between 10.00.5500 and 10.00.5793 No word yet on an update for Service Pack 2. As usual, I'll post my standard disclaimer here: these updates are NOT for SQL Server 2008 R2 (where @@VERSION will report 10.50.xxxx)....(read more)

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  • SQL Rank

    - by Derek Dieter
    The SQL Rank function was introduced in SQL Server 2005 and is part of a family of ranking functions. In order to explain the SQL Rank function, we need to look at it in context with the other rank functions.RANK DENSE_RANK ROW_NUMBER NTILEThis list may seem overwhelming, however most of the ranking functions are rather similar. First, the [...]

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  • Execute a SSIS package in Sync or Async mode from SQL Server 2012

    - by Davide Mauri
    Today I had to schedule a package stored in the shiny new SSIS Catalog store that can be enabled with SQL Server 2012. (http://msdn.microsoft.com/en-us/library/hh479588(v=SQL.110).aspx) Once your packages are stored here, they will be executed using the new stored procedures created for this purpose. This is the script that will get executed if you try to execute your packages right from management studio or through a SQL Server Agent job, will be similar to the following: Declare @execution_id bigint EXEC [SSISDB].[catalog].[create_execution] @package_name='my_package.dtsx', @execution_id=@execution_id OUTPUT, @folder_name=N'BI', @project_name=N'DWH', @use32bitruntime=False, @reference_id=Null Select @execution_id DECLARE @var0 smallint = 1 EXEC [SSISDB].[catalog].[set_execution_parameter_value] @execution_id,  @object_type=50, @parameter_name=N'LOGGING_LEVEL', @parameter_value=@var0 DECLARE @var1 bit = 0 EXEC [SSISDB].[catalog].[set_execution_parameter_value] @execution_id,  @object_type=50, @parameter_name=N'DUMP_ON_ERROR', @parameter_value=@var1 EXEC [SSISDB].[catalog].[start_execution] @execution_id GO The problem here is that the procedure will simply start the execution of the package and will return as soon as the package as been started…thus giving you the opportunity to execute packages asynchrously from your T-SQL code. This is just *great*, but what happens if I what to execute a package and WAIT for it to finish (and thus having a synchronous execution of it)? You have to be sure that you add the “SYNCHRONIZED” parameter to the package execution. Before the start_execution procedure: exec [SSISDB].[catalog].[set_execution_parameter_value] @execution_id,  @object_type=50, @parameter_name=N'SYNCHRONIZED', @parameter_value=1 And that’s it . PS From the RC0, the SYNCHRONIZED parameter is automatically added each time you schedule a package execution through the SQL Server Agent. If you’re using an external scheduler, just keep this post in mind .

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